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cs.LG2024
Enhancing Convolutional Neural Networks with Higher-Order Numerical Difference Methods
Qi Wang, Zijun Gao, Mingxiu Sui +3
With the rise of deep learning technology in practical applications, Convolutional Neural Networks (CNNs) have been able to assist humans in solving many real-world problems. To en…
cs.LG2024
Enhancing Deep Learning with Optimized Gradient Descent: Bridging Numerical Methods and Neural Network Training
Yuhan Ma, Dan Sun, Erdi Gao +3
Optimization theory serves as a pivotal scientific instrument for achieving optimal system performance, with its origins in economic applications to identify the best investment st…